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Exploring invisible scientific communities: Studying networking relations within an educational research community. A Finnish case

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Abstract

The present study focused on making invisiblecolleges of educational science in Finlandvisible through analysing networking relationsbetween scientific research communities. Thestudy aims at developing methods to analyse theintensity and focus of social collaborationbetween educational research groups in order tounderstand internal relations of scientificdiscipline and support scientific evaluationwith information about participation andinformal communication beyond quantity ofpublished products. Informal and formalnetworking connections of the professors ofeducation in Finland were examined by usingdifferent methods of social network analysis. The results of the study revealed that theinformal information flow between professors ofeducation concentrated within universitieswhereas more formal collaborative relations(e.g. citations) cross boundaries betweenuniversities. The educational research wasstructured as three distinct invisible colleges(learning researchers, research on teaching,and the sociology of education). Furthermore,the professors differed considerably in termsof informal collaborative relations andcitations. Only a few central actors dominatededucational research in receiving the majorityof the citations, whereas some professorsappeared to be completely isolated from othereducational research network. We conclude thatsocial network analysis opens up a newpromising perspective, which can be used inanalysing and assessing different branches ofscience.

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References

  • Bevan, W. (1991). ‘Contemporary psychology: a tour inside the onion’, American Psycholo-gist 46(5), 475–483.

    Google Scholar 

  • Brennan, J. (1997). ‘Authority, legitimacy and change: the rise of quality assessment in higher education’, Higher Education Management 9(1), 7–30.

    Google Scholar 

  • Borgatti, S., Everett, M. and Freeman, L. (1996a). UCINET X. Natick, MA: Analytic Technologies.

    Google Scholar 

  • Borgatti, S., Everett, M. and Freeman, L. (1996b). UCINET IV Version 1.64 Reference Manual. Natick, MA: Analytic Technologies.

    Google Scholar 

  • Bovasso, G. (1996). ‘A network analysis of social contagion processes in an organizational intervention’, Human Relations 49(11), 1419–1435.

    Google Scholar 

  • Burkhardt, M.E. (1994). ‘Social interaction effects following a technological change: a longitudinal investigation’, Academy of Management Journal 37(4), 869–898.

    Google Scholar 

  • Carley, K.M., Hummon, N.P. and Harty, M. (1993). ‘Scientific influence: an analysis of the main path structure’, Journal of Conflict Resolution 14(4), 417–447.

    Google Scholar 

  • Crane, D. (1972). Invisible Colleges. Chicago: University of Chicago Press.

    Google Scholar 

  • De Haan, J., Leeuw, F.L. and Remery, C. (1994). ‘Accumulation of advantage and disad-vantage in research groups’, Scientometrics 29(2), 239–251.

    Google Scholar 

  • Dill, P.D. (1999). ‘Academic accountability and university adaptation: the architecture of an academic learning organization’, Higher Education 38(2), 127–154.

    Google Scholar 

  • Doreian, P. (1987). ‘A revised measure of standing of journals in stratified networks’, Scientometrics 11(1–2), 71–80.

    Google Scholar 

  • Duke, C. (2000). ‘Beyond “dalayering”: process, structure and boundaries’, Higher Education Management 11(3), 7–22.

    Google Scholar 

  • Gear, J., McIntosh, A. and Squires, G. (1994). Informal Learning in the Professions. Report of a research project funded by the Higher Education Funding Council for England. Department of Adult Education. University of Hull.

  • Henkel, M. (2000). ‘Academic responses to the UK Foresight programme’, Higher Education Management 12(1), 67–84.

    Google Scholar 

  • Henkel, M. (1998). ‘Evaluation in higher education: conceptual and epistemological founda-tions’, European Journal of Education 33, 285–298.

    Google Scholar 

  • Kogan, M. (2000). ‘Higher education communities and academy identity’, Higher Education Quarterly 54(3), 207–216.

    Google Scholar 

  • Kuhn, T. (1962). The Structure of Scientific Revolution. Chicago: University of Chicago Press.

    Google Scholar 

  • Kulkarni, D. and Simon, H.A. (1988). ‘The processes of scientific discovery: the strategy of experimentation’, Cognitive Science 12, 139–175.

    Google Scholar 

  • Lang, D.W. (2000). ‘Similarities and differences: measuring diversity and selecting peers in higher education’, Higher Education 39(1), 93–129.

    Google Scholar 

  • Levy, D.A. and Nail P.R. (1993). ‘Contagion: a theoretical and empirical review and reconceptualization’, Genetic, Social and General Psychology 132(4), 235–285.

    Google Scholar 

  • Liebskind, J.P., Oliver, A.L., Zucker, L. and Brewer, M. (1996). ‘Social networks, learning and flexibility: sourcing scientific knowledge in new biotechnology firms’, Organization Science 7, 428–443.

    Google Scholar 

  • Macdonald, S. (1995). ‘Learning to change: an information perspective on learning in the organization’, Organization Science 6, 557–567.

    Google Scholar 

  • Marsden, P. (1998). ‘Memetics and social contagion: two sides of the same coin?’, Journal of Memetics – Evolutionary Models of Information Transmission pp. 68–86.

  • Marshakova, I.V. (1981). ‘Citation networks in information science’, Scientometrics 3(1), 13–26.

    Google Scholar 

  • Middleton, D. (1996). ‘Talking work: argument, common knowledge, and improvisation in teamwork’, in Engeström, Y. and Middleton, D. (eds.), Cognition and Communication at Work. Cambridge: Cambridge University.

    Google Scholar 

  • Moscovici, S. (1993). ‘Toward a social psychology of science’, Journal for the Theory of Social Behaviour 23(4), 343–374.

    Google Scholar 

  • Nardi, B., Whittaker, S. and Schwarz (2000). ‘It's not what you know, it's who you know: work in the information age’, First Monday 5, p. 5. URL: http://firstmonday.org/issues/ issue5_5/nardi/index.html.

    Google Scholar 

  • Orr, J.E. (1990). ‘Sharing knowledge, celebrating identity: war stories and community memory in a service culture’, in Middleton, D. and Edwards, D. (eds.), Collective Remembering: Memory in Society. London, Newbury Park, New Delhi: Sage Publications Limited. pp. 169–189.

    Google Scholar 

  • Pinch, T. (1990). ‘The role of scientific communities in the development of science’, Impact of Science on Society 159, 219–225.

    Google Scholar 

  • Reid, E. (1993). ‘Terrorism research and the diffusion of ideas’, Knowledge and Policy 6(1), 17–38.

    Google Scholar 

  • Schaffner, A.C. (1994). ‘The future of scientific journals: lessons from the past’, Information Technology and Libraries 13(4), 239–247.

    Google Scholar 

  • Schott, T. (1988). ‘International influence in science: beyond centre and periphery’, Social Science Research 17, 219–238.

    Google Scholar 

  • Scott, J. (1991). Social Network Analysis: A handbook. London: SAGE Publications.

    Google Scholar 

  • Sieber, J.E. (1991). ‘Openness in the social sciences: sharing data’, Ethics and Behaviour 1(2), 69–86.

    Google Scholar 

  • Skodvin, O-J. and Stensaker, B. (1998). ‘Innovation through merging’, Higher Education Management 10(3), 73–86.

    Google Scholar 

  • Thagard, P. (1997). ‘Collaborative knowledge’, NOÛS 31(2), 242–261.

    Google Scholar 

  • Thomas, C.W. (1997). ‘Public management as interagency cooperation: testing epistemic community theory at the domestic level’, Journal of the Public Administration Research and Theory 7(2), 221–247.

    Google Scholar 

  • Thune, C. (1998). ‘The European systems of quality assurance: dimensions of harmonisation and differentiation’, Higher Education Management 10(3), 9–26.

    Google Scholar 

  • Valsiner, J. and Van der Veer, R. (2000). ‘The social mind: construction of the idea.’ Cambridge: Cambridge University Press.

    Google Scholar 

  • Wahlén, S. (1998). ‘Is there a Scandinavian model of evaluation of higher education?’, Higher Education Management 10(3), 27–42.

    Google Scholar 

  • Wasserman, S. and Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.

  • Watkins, J.M. (1994). ‘A postmodern critical theory of research use’, Knowledge and Policy 1994–1995 7(4), 55–77.

    Google Scholar 

  • Weedman, J. (1993). ‘On the “isolation” of humanists: a report of an invisible college’, Communication Research 20(6), 749–779.

    Google Scholar 

  • Välimaa, J. (1998). ‘Culture and identity in higher education research’, Higher Education 36, 119–138.

    Google Scholar 

  • Ñsdiken, B. and Pasadeos, Y. (1995). ‘Organizational analysis in North America and Europe: a comparison of co-citation networks’, Organization Studies 6(3), 503–526.

    Google Scholar 

  • Ziman, J. (1996). ‘“Postacademic science”: constructing knowledge with networks and norms’, Science Studies 9(1), 67–80.

    Google Scholar 

Download references

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Tuire, P., Erno, L. Exploring invisible scientific communities: Studying networking relations within an educational research community. A Finnish case. Higher Education 42, 493–513 (2001). https://doi.org/10.1023/A:1012242009758

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